Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2021, Vol. 38 ›› Issue (4): 586-600.doi: 10.3969/j.issn.1005-3085.2021.04.012

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Pattern Dynamics of Vegetation System with Holling-type II and Nonlocal Delay

LIANG Juan1,2,3,   LI Li4,   CUI Liang5,   GUO Zun-guang1,2,3   

  1. 1- Department of Science, Taiyuan Institute of Technology, Taiyuan 030008
    2- Data Science and Technology, North University of China, Taiyuan 030051
    3- School of Science, North University of China, Taiyuan 030051
    4- School of Computer and Information Technology, Shanxi University, Taiyuan 030006
    5- College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006
  • Received:2020-12-06 Accepted:2021-03-19 Online:2021-08-15 Published:2021-10-15
  • Contact: L. Li. E-mail address: lili831113@sxu.edu.cn
  • Supported by:
    The National Natural Science Foundation of China (42075029); the National Key Research and Development Program of China (2018YFE0109600); the Natural Science Foundation of Shanxi Province (201901D111322); the Program for the (Reserved) Discipline Leaders of Taiyuan Institute of Technology (201808).

Abstract: In arid or semi-arid regions, vegetation absorbs water through the nonlocal effects of roots. The paper establishes a mathematical model with nonlocal delay and Holling-II functional response function. By mathematical analysis, the conditions under which the vegetation-water model generates the Turing pattern are obtained. The spatial distributions of vegetation under different delays are obtained by numerical simulation. The simulation results show that delay in vegetation density presents a ``parabolic phenomenon", and delay can cause a change in the pattern structure. Specifically, as delay increases, a pattern is transformed from uniform distribution to nonuniform distribution. When the delay parameter is less than the threshold, vegetation density increases with the decrease of delay. On the contrary, the density of vegetation will increase with the increase of delay. Besides, the functional response term coefficient is positively correlated with vegetation density. The numerical simulation results show the influence of nonlocal delay and Holling-II functional response function on vegetation pattern, which provide a new theoretical basis for vegetation protection.

Key words: nonlocal delay, vegetation, desertification, pattern

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